Update README.md
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README.md
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@@ -171,3 +171,86 @@ import torch
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tokenizer = AutoTokenizer.from_pretrained("Kelvinmbewe/LusakaLang-MultiTask")
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model = torch.load("Kelvinmbewe/LusakaLang-MultiTask/model.pt")
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model.eval()
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tokenizer = AutoTokenizer.from_pretrained("Kelvinmbewe/LusakaLang-MultiTask")
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model = torch.load("Kelvinmbewe/LusakaLang-MultiTask/model.pt")
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model.eval()
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```
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```python
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predict_language([
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"Ndeumfwa bwino lelo",
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"Galimoto inachedwa koma driver anali bwino",
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"The service was terrible today"
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])
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```
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```python
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predict_sentiment([
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"Driver was rude and unprofessional",
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"Ndimvela bwino lelo",
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"The ride was okay, nothing special"
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])
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```
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```python
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predict_topic([
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"Payment failed but money was deducted",
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"Support siyankhapo, waited long",
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"Driver was over speeding"
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])
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```
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```python
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@model{LusakaLangMultiTask,
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author = {Kelvin Mbewe},
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title = {LusakaLang Multi-Task Model},
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year = 2025,
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url = {https://huggingface.co/Kelvinmbewe/LusakaLang-MultiTask}
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}
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```
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```python
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ββββββββββββββββββββββββββββββββββββββββ
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β Input Text (Any Language) β
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ββββββββββββββββββββββββββββββββββββββββ
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β
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βΌ
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ββββββββββββββββββββββββββββββββββββββββ
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β Tokenizer (mBERT-based) β
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ββββββββββββββββββββββββββββββββββββββββ
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β
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βΌ
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ββββββββββββββββββββββββββββββββββββββββ
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β Shared mBERT Encoder Layer β
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β (bert-base-multilingual-cased) β
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ββββββββββββββββββββββββββββββββββββββββ
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β
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βΌ
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ββββββββββββββββββββββββββββββββββββββββ
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β [CLS] Pooled Representation β
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ββββββββββββββββββββββββββββββββββββββββ
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β
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βββββββββββββββββββββββββββββββββΌββββββββββββββββββββββββββββββββ
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β β β
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βΌ βΌ βΌ
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ββββββββββββββββββββββββ ββββββββββββββββββββββββββ ββββββββββββββββββββββββββ
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β Language Head β β Sentiment Head β β Topic Head β
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β (Kelvinmbewe/ β β (Kelvinmbewe/ β β (Kelvinmbewe/ β
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β mbert_Lusaka_ β β mbert_LusakaLang_ β β mbert_LusakaLang_ β
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β Language_Analysis) β β Sentiment_Analysis) β β Topic) β
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ββββββββββββββββββββββββ ββββββββββββββββββββββββββ ββββββββββββββββββββββββββ
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β β β
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βΌ βΌ βΌ
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ββββββββββββββββββββββββ ββββββββββββββββββββββββββ ββββββββββββββββββββββββββ
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β Language Label β β Sentiment Label β β Topic Label β
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β (e.g., Bemba, Nyanja, β β (Negative/Neutral/ β β (Driver, Payment, β
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β English, CodeβSwitch)β β Positive) β β Support, etc.) β
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ββββββββββββββββββββββββ ββββββββββββββββββββββββββ ββββββββββββββββββββββββββ
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```
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